On differentiability and mass distributions of typical bivariate copulas
Nicolas Dietrich, Wolfgang Trutschnig

TL;DR
This paper investigates the differentiability and mass distribution properties of typical bivariate copulas, revealing that non-differentiability can be widespread and that typical copulas often exhibit complete dependence with full support.
Contribution
It constructs examples of copulas with pathological derivatives, shows that such copulas are dense, and analyzes the regularity and dependence structures of typical copulas, especially within the class of Extreme Value copulas.
Findings
Non-differentiability points of copulas can be dense.
Typical bivariate copulas are mutually completely dependent with full support.
Regularity of dependence measures influences copula regularity.
Abstract
Despite the fact that copulas are commonly considered as analytically smooth/regular objects, derivatives of copulas have to be handled with care. Triggered by a recently published result characterizing multivariate copulas via -increasingness of their partial derivative we study the bivariate setting in detail and show that the set of non-differentiability points of a copula may be quite large. We first construct examples of copulas whose first partial derivative is pathological in the sense that for almost every it does not exist on a dense subset of , and then show that the family of these copulas is dense. Since in commonly considered subfamilies more regularity might be typical, we then focus on bivariate Extreme Value copulas (EVC) and show that a topologically typical EVC is not absolutely continuous but has degenerated…
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Taxonomy
TopicsFinancial Risk and Volatility Modeling
